Graduate Intern, Artificial Intelligence & Data Science - Summer 2027

hdsupply; Atlanta (GA); On-site; USD 27,552,000 - 48,216,000; Part time

Job summary

HD Supply invites graduate interns to apply advanced analytics, data science, and AI to optimize customer experiences, supply chain operations, pricing, forecasting, and enterprise processes across the organization.

The internship offers hands-on experience with enterprise-scale data, cloud environments, and real-world business challenges, working alongside experienced data scientists and engineers to translate AI concepts into measurable outcomes.

Qualifications

• Currently pursuing a Master's degree in a quantitative field such as Data Science, Analytics, ML, AI, CS, Statistics or Applied Mathematics.
• Anticipated graduation December 2027 or May 2028.
• Demonstrated coursework or research in ML/AI, predictive analytics or statistical modeling.
• Proficiency in Python, SQL, or similar analytic languages.
• Strong written and verbal communication; ability to explain complex ideas.

Responsibilities

• Analyze large, complex datasets to identify trends and insights.
• Support development, testing, and refinement of ML/AI models.
• Assist in data prep, feature engineering, model evaluation, and monitoring.
• Create visualizations, dashboards, reports to communicate findings.
• Collaborate with stakeholders to translate challenges into analytical solutions.
• Contribute to Generative AI and productivity initiatives.

Skills

Python

SQL

Analytical skills

Communication

Education

Master's degree in Data Science or related

Tools

Azure

AWS

Google Cloud

Job description

About the Role

HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.

As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.

The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intelligent automation, large language models (LLMs), agentic AI, and decision-support solutions. Interns will gain exposure to enterprise-scale datasets, cloud-based analytical environments, and the practical application of AI technologies within a large, complex organization.

This internship is designed for graduate-level talent seeking hands-on experience translating advanced analytics and AI concepts into measurable business outcomes.

Key Responsibilities

• Analyze large and complex datasets to identify trends, opportunities, and business insights.
• Support the development, testing, and refinement of machine learning and AI models.
• Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
• Develop visualizations, dashboards, reports, and presentations to communicate findings.
• Partner with business stakeholders to understand challenges and translate them into analytical solutions.
• Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
• Document methodologies, assumptions, findings, and recommendations.
• Present project outcomes and insights to technical and non-technical audiences.

Required Qualifications

• Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
• Anticipated graduation date of December 2027 or May 2028.
• Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
• Proficiency in Python, SQL, or other analytical programming languages.
• Strong analytical, quantitative, and problem-solving skills.
• Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
• Ability to work independently and collaboratively in a team environment.

Preferred Qualifications

• Previous full-time professional work experience, internship experience, or relevant industry experience in analytics, data science, software engineering, artificial intelligence, machine learning, or a related field.
• Experience developing machine learning models or AI solutions through academic research, professional work, internships, or personal projects.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Familiarity with large language models (LLMs), generative AI frameworks, or agentic AI applications.
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Exposure to MLOps, model monitoring, experimentation frameworks, or deployment practices.
• Experience working with large-scale datasets and advanced statistical techniques.

Job Summary

Gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.

Major Tasks, Responsibilities, and Key Accountabilities

Prepares and delivers insights and recommendations based on analyses. Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management. Executes tasks directly related to functional projects and/or process improvements. Communicates issues and roadblocks related to areas of responsibility. May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.

Nature and Scope

Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data. Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor. May provide general guidance/direction to or train junior level support personnel. W